Current Issue https://www.zgszyx.org.cn EN-US https://www.zgszyx.org.cn/EN/current.shtml https://www.zgszyx.org.cn 5 This paper is to discuss the current status and development proposals of IT application in intensive care.It analyzes the development status of IT application in intensive care medicine at home and abroad,and then points out the pain points in the development of IT application in intensive care.It proposes solutions based on the construction of a data platform using the Internet of Things(IoT).This study outlines the future development direction of IT application in intensive care medicine,and realizes the comprehensive integration of medical data by utilizing IoT technology.Through IT application,intensive care medicine will usher in more efficient and accurate medical services to protect the life safety and health of patients.]]> Objective To reduce the clinical pressure of doctors and improve the level of IT-aided clinical decision-making and diagnosis.Methods Using IoT collection devices,the vital signs and alarm information of treatment equipment such as ventilators and monitors in intensive care units and general wards were collected,and IT-based model tools such as false positive alarm filtering and clinical aided diagnostic tools were designed.Results By implementing false positive alarm filtering and clinical aided diagnostic IT-based tools,data support was provided for promoting hospital false positive alarm and remote ICU applications.Conclusion The research and application of IT-based decision-making in intensive care unit can improve the decision-making efficiency of clinicians,reduce clinical working pressure and improve medical services.]]> In order to accelerate the development of IT-application in intensive care medicine,enhance the clinical diagnosis and treatment capability and scientific research level of intensive care department,and realize the digitalization of department quality management and the integration of hospital homogeneous management.According to the IT application development plan of the intensive care department of the Zhongda Hospital affiliated to Southeast University,and by standardizing clinical operational processes and integrating data from across the hospital,an ICU clinical information system,an early warning and rapid response platform for in-hospital critical patients,a homogeneous remote intensive care diagnosis and treatment platform,and an ICU big data research management system were designed.This initiative has improved the efficiency and service quality of medical staff,strengthened their data extraction,integration and quality control capabilities,optimized their ability to treat patients in hospital and in the region,facilitated the implementation of disciplinary scientific research achievements,realized the integration of homogeneous businesses management in the hospital,and created a driving effect of regional demonstration.]]> Objective To build a digital critical care rapid response system,realize early identification and intervention of patients with critical illness,and ensure the medical safety of patients.Methods Technologies such as IoT(the Internet of Things),big data,and AI(Artificial Intelligence)were utilized to build a rapid response information platform for intensive care and improve the rapid response management system.Results A critical care rapid response system integrating big data center,intelligent early warning and rapid response system,and organizational management system was built to provide patients with intelligent,homogeneous,and efficient medical services.Conclusion The construction of critical care rapid response system is still in the exploratory stage in China.Through the whole-process information and digital management,the medical security of patients can be effectively improved,and the construction of a critical care rapid response system suitable for the high-quality development of medical service in China can be continuously promoted.]]> Objective To establish an intelligent aided diagnostic model for severe acute pancreatitis through machine learning,which can timely and efficiently assist doctors to assess the severity of acute pancreatitis,assist the diagnosis of severe acute pancreatitis,facilitate early intervention and improve prognosis.Methods The clinical data of 122 patients with acute pancreatitis from the Emergency Department and Gastroenterology Department of our hospital from 2021 to 2023 were collected.Patients with severe acute pancreatitis(SAP)were included in the SAP group,while those without SAP were included in the non-SAP group.Single-factor analysis was employed to screen indicators,including the general conditions,examinations and laboratory tests of patients.Two machine learning models,including logistic regression model and artificial neural network model,were establishedby incorporating the selected indicators into the prediction model.The area under the receiver operating characteristiccurve(AUC),specificity and sensitivity of the two were compared.Results 39 cases(34.8％)were diagnosed with SAP.Single-factor analysis revealed that the SAP group had a higher proportion of diabetes history,interleukin-6(IL-6),C-reactive protein(CRP),D-dimer,prothrombin time(PT),partial thromboplastin time(TT)and creatinine levels.The non-SAP group exhibited higher hematocrit(HCT)and fibrinogen(FIB)levels.The logistic regression model selected IL-6,creatinine and FIB as variables.The model had a specificity of 74.82％,a sensitivity of 80.35％,an accuracy of 76.17％and an AUC of 0.802(95％confidence interval:0.762～0.875).The artificial neural network model selected IL-6,creatinine,HCT,D-dimer and TT as variables,with a specificity of 75.30％,a sensitivity of 85.28％,an accuracy of 78.25％and an AUC of 0.865(95％confidence interval:0.781～0.886).Conclusion The accuracy of artificial neural network model is better than that of logistic regression model,and both models are more convenient than using scores.The establishment of the aided diagnostic system for SAP is helpful for clinicians to make rapid decision,diagnose the disease and determine treatment plans,which has a promising application prospect.]]> Objective To build a cross-regional remote collaborative service platform for critical diseases,promote the grassroots application and balanced distribution of high-quality medical resources,and explore new paths for constructing specialized medical consortiums.Methods Based on technologies such as 5G and KVM,a cross-regional remote collaborative service platform for critical diseases.Results The Department of Intensive Care Medicine and Information Center of West China Hospital of Sichuan University,in collaboration with third-party medical information service providers,jointly built the remote intensive care collaborative system of the Intensive Care Medicine Discipline Alliance,West China Hospital,which broke through the barriers of safely transmitting medical information across hospitals,and developed five functional modules including remote monitoring,remote consultation,remote operation,remote teaching and remote quality control.The system has served 140 member units in 13 provinces,and provided about 250 cases of consultation and ward rounds per year,and about 200 sessions of teaching livestream per year.Conclusion The existing communication technologies can successfully build a cross-regional remote collaborative service platform for critical diseases,ensure data security of patients,improve remote collaboration efficiency,and realize the sharing of medical and teaching resources.]]> Objective To learn the clinical knowledge of intensive care medicine specialty through large language model technology,and to understand and identify the intentions behind clinical needs and questions,so as to provide intelligent feedbacks to clinical inquiries raised by users.Methods Based on the general large language model,the medical large language model dataset was designed,and a large number of medical knowledge data were collected for multi-task and multi-stage large language model training,so as to realize the intelligent analysis of clinical information in intensive care medicine.Results The intelligent learning,comprehension,and automatic Q&A of clinical medical information in intensive care medicine were realized.Conclusion By applying large language model technology in conjunction with external knowledge systems such as clinical rule databases and medical literature,it is feasible to construct a intensive care clinical information large language model system,which can offer scientific and intelligent comprehension and decision-making support for clinical medicine,provide experience and reference for further research and application of large language model technology in the medical field.]]> Objective In order to realize automatic extraction and application of profound knowledge of Traditional Chinese Medicine(TCM)diagnosis and treatment contained in TCM literature by utilizing information extraction technology.Methods First,the basic knowledge database of TCM diagnosis and treatment was constructed.Then the literature sample sets were marked and used for model training based on the knowledge database.Then,the diagnosis and treatment knowledge was extracted by the model,and the basic rules of TCM diagnosis and treatment were summed up.Finally,the empirical study was carried out with the example of breast cancer.Results The experiment results showed that the F1 value of the UIE information extraction model was 0.8969.Data mining on extracted data showed that the basic treatment principles of drug use were to enhance qi and blood circulation,liver smoothing,and spleen strengthening,and medication therapies were tonic and heat-clearing TCM drugs.Conclusion This method can efficiently extract diagnosis and treatment knowledge automatically from TCM literature,and has practical value for TCM clinical research.]]> Objective To explore the distribution of Chinese words and characters in medical records of women and children and the construction method of feature word database by studying the extraction and distribution of Chinese words in EMRs(Electronic Medical Records).Methods Taking the whole-year EMRs in two maternal and child healthcare hospitals in two cities as an example,a comparative statistical analysis of the EMR samples was made according to different word databases such as Internet general thesaurus,medical terminology thesaurus,medical term sub-thesaurus,medical record sub-thesaurus,terminology,and medical record word segmentation joint thesaurus,et al.And based on this analysis,the distribution pattern and characteristics of the maternal and child EMRs were extracted.Results The statistical results show that the Chinese words and characters in EMRs of women and children are relatively concentrated,with limited magnitude,regular distribution and distinctive characteristics.Conclusion The study on the Chinese words and characters and distribution pattern in maternal and child EMRs shows that the number of frequently used Chinese words was about 2,000,as well as the frequently used Chinese phases,whose number is also less than 2,000,and the total number of maternal and child characteristic words is 3,178.Therefore,taking maternal and child electronic medical records as an example to study Chinese words and phrases is of great significance,which has important reference value for the intelligent application and development of the EMRs in the later stage.]]> Objective To explore the effectiveness of the intelligent guided examination system in providing physical examination services for clients,and to analyze the influencing factors of clients'compliance with system recommendations.Methods Using the data of customers using the intelligent guided examination system,the findings of this paper were confirmed by econometric methods.Results By applying the intelligent guided examination system,customers queuing time was reduced.Compared with projects with low expected time cost,customers were more willing to comply with the intelligent guided examination system in projects with high expected time cost.Customers'perceived cost of waiting had a negative impact on their compliance behavior.Conclusion The use of intelligent guided examination system can improve the efficiency of medical checkups,and hospitals can reduce customers'perceived time costs by improving queue mobility and providing a comfortable queuing environment,so as to improve customers'compliance with the intelligent guided examination system.]]> Objective To optimize the allocation of medical resources,improve the quality and efficiency of medical services,based on big data,IoT(Internet of Things)and other technologies,use information technology to integrate various resources and the data of hospital logistics management and operation system,and to improve the intelligent supervision capability of hospital logistics management.Methods The management model of"IoT+SPD"was implemented,and by building an integrated information platform and using intelligent devices based on RFID technology,an integrated intelligent management of in vitro diagnostic reagents was carried out.Results After the implementation of in-hospital featured smart management,the reagent inventory and operating costs were significantly reduced,the workflow was optimized,the visualization level of material management was improved,and the risk prevention ability of clean governance was enhanced.Conclusion The"Internet of Things+SPD"management model can lay the foundation for the lean,digital and intelligent management of all reagents,which is conducive to the supervision,control and data acquisition by logistics management departments,and can improve the intelligent supervision level of logistics services.]]> Objective To establish a hospital operation management information platform based on data center technology and to improve the operation efficiency and fine management level of hospitals.Methods The metadata center,data warehouse model center and data indicator center were constructed by using real-time synchronization technology,bus matrix technology and indicator decoupling technology for database,and professional BI tools were used to visualize the data.Results The platform provided real-time operation data,which could satisfy the needs of hospitals in disease management,DRGs management,national examination index management,grade evaluation index management and so on.Conclusion The hospital operation management information platform based on data center technology can realize data integration,centralized management and real-time analysis,improve the operation efficiency and management level of the hospital,and provide information support for the high-quality development of the hospital.]]> Objective To improve the level of fine management in the whole life cycle of medical equipment with the aim of six-dimensional management of medical equipment.Methods Based on IoT(Internet of Things)technology,a medical equipment information platform was built to realize accurate collection,analysis and visualized display of medical equipment operation data by focusing on the four core dimensions,including patients diagnosis and treatment process,large-scale medical equipment reservation,evaluation of the cost and operational performance of the equipment,and equipment maintenance.Results The IoT-based medical equipment information platform was built to realize the ability of patient diagnosis and treatment process tracking,medical equipment reservation and use tracking,medical equipment operation performance improvement,and medical equipment maintenance and repair optimization.Conclusion The application of IoT-based medical equipment information platform can improve operation efficiency of personnel and equipment,improve patient satisfaction,optimize clinical processes and improve the comprehensive management level and operational efficiency of hospitals.]]> Objective To design and realize the virtual exhibition platform of Chinese traditional medicinal herbs by using the key technologies of VR intelligent exhibition,to realize the internet education of traditional Chinese medicine,and to explore the implementation ways of the intelligent informatization of Chinese traditional medicinal herbs.Methods Based on 3D modeling technology,C# language was used together with interface interaction,text,and other functions to design and implement the VR intelligent exhibition system of Chinese traditional medicinal herbs in Unity3D engine.Results The system realized the functions of medicinal herbs display,scenes roaming,collision detection,medicinal herbs information inquiry,herbal slice models conversion,and so on.Conclusion Virtual reality is one of the ways to implement traditional Chinese medicine technology,which is conductive to remote education of traditional Chinese medicine,improving teaching effect,and spreading the culture of traditional Chinese medicine.]]> Gait analysis is an important part of clinical research,and the traditional 3D gait analysis is difficult to be widely applied due to high equipment cost and high technical requirements.With the development of computer vision technology,the accuracy of marker-free motion capture system has been greatly improved,and the advantages of no marking and lower cost have been gradually applied to gait analysis.However,due to the lack of overall understanding of the system by researchers and clinicians,this technology cannot be widely promoted yet.This review is intended to review the application progress of marker-free motion capture system in clinical gait analysis,analyze the advantages and limitations of current technologies,and look forward to the development direction of marker-free motion capture system in clinical gait analysis,which will provide research ideas for the popularization and use of marker-free motion capture system in clinic in the future.]]> Chronic obstructive pulmonary disease,also known as COPD,is a common chronic disease related to human lungs and respiratory tract,which is a serious threat to human health.The accurate identification of oxygen depletion status has important clinical significance for the diagnosis of COPD.Used to train a supervised self-organizing map model for ODS identification;Thein this study,we perform research on ODS identification based on the six minutes walking data of the recruited subjects.Firstly,five features,including saturation of pulse oxygen(SpO2)value,pulse rate value,window feature,gradient feature and correlation feature of SpO2,are extracted and combined to form discriminative feature for each target point;Secondly,on the basis of the feature representation,the training set is experimental results show that the global performance index of the proposed identification model reaches 0.861 1 of AUC,indicating that the proposed method can be effectively used for identifying ODS and could facilitate the diagnosis of COPD.]]> Nursing activities possess event semantic characteristics,which include event trigger words and event arguments.Guided by the event framework,in which verbs are used as trigger words and verb features of the trigger words are taken as event argument roles,the event instances were extracted from the nursing activity text of Nursing Interventions Classification(NIC)(5th Edition),and the Nursing Activity Events Dataset(NAEV Dataset)was constructed.NAEV contains 16 nursing activity event types,13 argument roles,15,159 nursing activity events,893 trigger words,and 33,406 argument instances.The text-based NAEV dataset has overlapping features,which makes the task of event extraction more challenging.Three mainstream models in the field of event extraction were selected to verify the validity of the dataset.The experimental results show that the performance differences of different models on datasets are consistent with the differences in model construction principles,which indicates that NAEV dataset can provide high-quality data support for scientific innovations in event extraction,and can promote related research on event extraction,event alignment,event completion and event evolution in the field of nursing.]]> In order to further explore and inherit the essence of YanZhao traditional Chinese medicine,Hebei University of Traditional Chinese Medicine developed and built a database of YanZhao ancient medical literature.At the beginning of the project,14 representative medical works of YanZhao area were collected and sorted out,and imported into the database for entity annotation of core diseases,syndrome,diseases,treatments,prescriptions,medicines,and other entities as well as semantic relations among entities.On this basis,the retrieval statistical analysis function of the database was realized,and a database with the function of TCM literature annotation and retrieval analysis was constructed.The database can search ancient books related to YanZhao medicine,analyze the core information of ancient books statistically,and display the results visually,which is convenient for users to explore the medication rules,academic characteristics of YanZhao school of medicine as well as the characteristics of the syndromes and treatment of various diseases,and can provide help for the study of YanZhao ancient medical literature and the research of YanZhao medical academic ideas.]]> Objective To solve the increasingly serious problem of hospital network security,and to explore a more secure network technology architecture.Methods Taking Jiangsu Provincial People's Hospital as an example,by constructing a zero-trust security gateway,continuously and dynamically transforming the underlying code of the front-end page,collecting browser fingerprints,and applying browser type verification and other technologies,the legitimacy of the client was verified and various types of attacks were effectively counteracted.Results Through the construction of the zero-trust security gateway system,the attacks on the business system were effectively intercepted,and the data showed that the number of unauthorized access interceptions and the interception rate after the gateway was launched were significantly higher than those before implementation(P＜0.05).Conclusion Zero-trust network security architecture provides an effective network security solution for hospitals,which can significantly enhance their network security protection capability.]]> Objective To realize reliable data collection,reliable storage,reliable analysis and reliable early-warning of infectious disease symptoms monitoring and early-warning process by applying blockchain technology.Methods The data of infectious disease symptoms monitoring and early-warning process were stored through blockchain technology to ensure authenticity and integrity.The cryptographic principle,consensus mechanism and grouping technology of blockchain were applied to ensure the integrity and authenticity of infectious disease symptoms data and interaction process.Results The integrity,reliability,privacy security of data interaction and sharing in the monitoring,processing and early warning process of infectious symptoms were realized.Conclusion By applying blockchain and related privacy security technologies in the monitoring and early-warning process of infectious disease symptoms,reliable data can be provided for monitoring,collection and processing of infectious disease data,which ensures the security of infectious disease symptoms monitoring.]]> Objective To carry out the research on digital health service technology system,and build a digital health service technology system by taking Dazhou as an example.Methods Starting from the problem,the technical research of digital health service system was carried out creatively by means of review,comparison and deduction.Results The top-level design standard and technical architecture were established,and the content of digital health service technical system construction was clarified.The development route for interfacing with,integrating into and promoting the evolution of smart cities was expanded and key implementation points were clarified.Conclusion Digital health can not only effectively protect people's health,but also comprehensively promote the construction of smart cities and the interaction between people and cities.As a result,Dazhou City's digital health service technology system provides a social governance model of"People's health as the top priority"for provinces and the country.]]>